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IEEE CEC 2027: IEEE Congress on Evolutionary Computation

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Día de Entrega:
2027-02-28 Faltan 131 días
Fecha de Notificación:
2027-04-07
Fecha de conferencia:
2027-07-25
Ubicación:
Edinburgh, UK
Ediciones:
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CCF: C   ICORE: B   Vistas: 135072   Seguidores: 40   Asistentes: 19
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Índice Conference Partner (CP-I)

52,6 / 100
Puesto n.º 1.168 de 5.738 congresos · 21% superior

N.º 102 de 748 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%)
72
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
19
Atención de la comunidad (10%)
54
Integridad del registro público (15%)
55

Datos utilizados: Categorías: CCF C, ICORE B · Ediciones documentadas: 1 · Investigadores que lo siguen aquí: 40 · Investigadores que abrieron esta página en los últimos 24 meses: 10

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

IEEE CEC 2027 (IEEE Congress on Evolutionary Computation) is a CCF C / ICORE B conference held in Edinburgh, UK on 2027-07-25. The paper submission deadline is 2027-02-28. Acceptance notifications are sent on 2027-04-07.

The IEEE Congress on Evolutionary Computation (IEEE CEC) is a world-class event in the field of Evolutionary Computation. One of the flagship conferences of the IEEE Computational Intelligence Society (IEEE CIS) and held annually since 1994, it provides a forum to bring together researchers and practitioners from all over the world to present and discuss their research findings on Evolutionary Computation. We invite original, previously unpublished contributions from researchers, practitioners and educators across the full breadth of evolutionary computation, from theoretical foundations to real-world applications. IEEE CEC 2027 will be held in Edinburgh, Scotland, a vibrant capital renowned for its world-leading universities and research community and, in late July, for the festivals that fill the city each summer. We warmly invite the community to join us for an outstanding scientific programme in an inspiring setting. ALGORITHMS Ant colony optimization and swarm intelligence Artificial immune systems Coevolutionary systems Coevolution Cultural algorithms Differential evolution Estimation of distribution algorithms Evolutionary computation theory Evolutionary developmental systems Evolutionary programming Evolution strategies Genetic algorithms Genetic programming Heuristics Interactive evolutionary computation Learning classifier systems Memetic algorithms Multi-meme and hybrid algorithms Molecular and quantum computing Multi-objective evolutionary algorithms Parallel and distributed algorithms Particle swarm optimization Representation and operators Self-adaptation in evolutionary computation MACHINE LEARNING FOR OPTIMIZATION & EVOLUTIONARY LEARNING Automated design of heuristics Evolutionary fuzzy systems Evolutionary neural architecture search Evolutionary reinforcement learning Fairness-aware optimization Federated and secure optimization Large language models for optimization Metaheuristics and hyper-heuristics Multi-objective machine learning Neural optimization Surrogate-assisted optimization Algorithm portfolios OPTIMIZATION Combinatorial Optimization Constraint handling Dynamic optimization Large-scale optimization Multi-modal optimization Multi-objective optimization Numerical optimization Optimization in the presence of uncertainty Robust optimization RELATED TOPICS Art and music Artificial life and adaptive behavior Autonomous mental and behavior development Biometrics Bioinformatics and computational biology Classification Clustering Data mining Defense and cybersecurity Drug design Embodied robotics Engineering design Evolutionary games and multi-agent systems Evolvable hardware Evolutionary software engineering Evolutionary robotics Finance and economics Intelligent systems applications Real-world applications AI ethics and governance THEORIES Causality and evolvability Convergence Fitness landscape analysis Robustness and neutrality Runtime analysis Scalability and complexity analysis
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